Abstract
Microarray technology is now widely available and is being applied to address increasingly complex scientific questions. Consequently, there is a greater demand for statistical assessment of the conclusions drawn from microarray experiments. This review discusses fundamental issues of how to design an experiment to ensure that the resulting data are amenable to statistical analysis. The discussion focuses on two-color spotted cDNA microarrays, but many of the same issues apply to single-color gene-expression assays as well.
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Acknowledgements
Support for this work was provided by the US National Institutes of Health. The analogy of measuring one man and one woman is attributed to Peter Petraitis.
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Churchill, G. Fundamentals of experimental design for cDNA microarrays. Nat Genet 32 (Suppl 4), 490–495 (2002). https://doi.org/10.1038/ng1031
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DOI: https://doi.org/10.1038/ng1031
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